DEA-C01 Data Ingestion and Transformation Practice Question
A data engineer is ingesting data from an on-premises database to Amazon S3 using AWS DataSync. The data transfer is scheduled to run daily at midnight. The engineer notices that the transfer takes longer than expected and sometimes does not complete before the next scheduled task. What should the engineer do to ensure the transfer completes within the window?
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Increase the bandwidth limit in the DataSync task settings.
Increase the bandwidth limit in the DataSync task settings. Increasing the bandwidth limit allows DataSync to use more available network capacity, thereby speeding up the data transfer and ensuring it completes within the scheduled window. Option B is incorrect because decreasing the bandwidth limit would slow the transfer further. Option C is incorrect because increasing the schedule frequency does not address the underlying bandwidth issue; it would merely start more transfers that would still be slow. Option D is incorrect because S3 Transfer Acceleration is designed for long-distance transfers over public internet and may not help if the bottleneck is on-premises bandwidth; additionally, DataSync is the recommended service for this scenario.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Increase the bandwidth limit in the DataSync task settings.
Why this is correct
Higher bandwidth limit allows faster data transfer.
- ✗
Decrease the bandwidth limit to reduce network congestion.
Why it's wrong here
Decreasing limit would make transfer slower.
- ✗
Increase the schedule frequency to every 12 hours.
Why it's wrong here
More frequent schedules could overlap and worsen the issue.
- ✗
Use S3 Transfer Acceleration instead of DataSync.
Why it's wrong here
Transfer Acceleration improves speed over long distances but not on-premises bandwidth.
Quick reference
AWS S3 Storage Class Comparison
| Storage Class | Min Duration | Retrieval | Use Case |
|---|---|---|---|
| S3 Standard | None | Immediate | Frequently accessed data |
| S3 Standard-IA | 30 days | Immediate | Infrequent access, rapid retrieval |
| S3 One Zone-IA | 30 days | Immediate | Non-critical infrequent data |
| S3 Intelligent-Tiering | None | Immediate–hours | Unknown or changing access patterns |
| S3 Glacier Instant | 90 days | Milliseconds | Archive with instant retrieval |
| S3 Glacier Flexible | 90 days | Minutes–hours | Archive, flexible retrieval |
| S3 Glacier Deep Archive | 180 days | Hours | Long-term compliance archive |
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This DEA-C01 practice question is part of Courseiva's free Amazon Web Services certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the DEA-C01 exam.